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Learner Reviews & Feedback for Structuring Machine Learning Projects by DeepLearning.AI

4.8
stars
46,480 ratings
5,330 reviews

About the Course

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

AM
Nov 22, 2017

I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

MG
Mar 30, 2020

It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.

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4651 - 4675 of 5,273 Reviews for Structuring Machine Learning Projects

By José A M

Aug 5, 2018

Good background theory for people starting in the field to get familiar with.

By Kumar V

Oct 15, 2017

Good learning , teaches us how to diagnose and plan machone learning project.

By Fredy A O L

May 29, 2020

El curso es muy bueno, le dá concenjos para emepzar a mirar redes neuronales

By Isara D S

Apr 23, 2020

As always loved the course, simulations were great and challenging to answer

By Jeff N

Mar 18, 2018

I would have loved more programming assignments and opportunity to practice.

By Mateusz O

Jan 5, 2021

Kinda more theory-based compared to the last two, but still good regardless

By Animesh S

Jun 16, 2019

I see the point, but takes too long to make it. But part of a great series.

By Umberto S

Apr 5, 2019

useful hints and techniques to manage ML Projects and choose right approach

By Sothiro P

Sep 11, 2018

I thought the course was clear and gave useful tips in leading a ML project

By Vito D

Sep 22, 2017

A bit short, maybe combine this into other courses? Or expand it with labs?

By Francisco J M O

Dec 29, 2020

Muy interesante, se aprende mucho en situaciones aplicables a la vida real

By Jean-Michel C

Dec 30, 2018

Very useful tricks / method to approach typical machine learning projects.

By Mandlenkosi N

Dec 10, 2018

I loved the use cases it gave a practical uses of what I've been learning.

By subho c

Sep 29, 2018

Some hands on exercise to complement the theory would have been excellent.

By Yisheng Y

Jan 25, 2018

I am pretty surprise that this course does not have programming assginment

By dh

Oct 17, 2017

provide student with some code tests like previous courses may be better .

By Ruifang W

Aug 23, 2017

quite detailed and easily accepted way of understanding all the materials.

By Sergey I

Aug 22, 2018

Good and useful material. However the homework is not challenging enough.

By Nimrod P

Feb 6, 2018

Some video issues, give this course a slightly lower production values...

By Abhishek R

Nov 27, 2017

Very useful for people working in ML. Short on content but one of a kind.

By Matteo P

Sep 23, 2017

Lot of blanks and glitches in the videos. Should be better reviewed by QA

By Leon M W

Dec 26, 2020

Nice but not as informative and well crafted as the previous two courses

By Nabham G

May 25, 2020

Got to learn some insights and guidelines for machine learning projects.

By Madhumathi R

May 29, 2019

It could have been the last course in the specialization instead of 3rd.

By Sébastien D

Nov 17, 2017

Some effort should be put in editing the videos. Else it is pretty good!